Senior Applied AI Engineer

About this team

The AI Technology Team within our Product Technology Group serves as BOLD’s internal incubator for applied AI, leveraging the latest large-language models to tackle our most complex challenges.

What you'll do

• Build Agentic Systems: Implement multi-step workflows leveraging reasoning, self-reflection, and adaptive execution strategies.

• Architect RAG Pipelines: Design retrieval-augmented generation (RAG) and memory-augmented architectures to ensure long-term system adaptability.

• Optimize LLM Performance: Refine prompts, experiment with few-shot learning, and utilize fine-tuned models to maximize accuracy and efficiency.

• Innovate with Data: Explore NLP techniques, embeddings, and vector databases to drive continuous system improvement.

• Ensure Reliability: Develop robust model evaluation frameworks to guarantee the accuracy and safety of AI-driven products.

• Collaborate Globally: Work across high-performing, cross-functional teams to translate vision into end-to-end production features.

What you'll need

• Experience Level: 5+ years of professional software engineering experience, with at least 2+ years of hands-on experience building and deploying LLM-powered applications.

• Bachelor/ Master’s Degree in Computer Science, Data Science, or other related engineering branches.

• Core Technical Mastery: Expert-level proficiency in JavaScript and TypeScript.

• AI Engineering Expertise: Proven experience building with LLMs, prompt chaining, and feedback loops.

• Advanced Framework Knowledge: Hands-on experience with LangChain, LangGraph, and/or LlamaIndex.

• Architectural Savvy: Deep understanding of software stacks, database modeling, CI/CD, and service-oriented architectures.

• Visionary Mindset: Familiarity with multi-modal models (vision + text) and a passion for staying ahead of the AI curve.

• Communication: The ability to explain complex technical concepts to diverse stakeholders and collaborate effectively.

What's good to have

• 7+ years of overall engineering experience.

• Experience with Python or web automation frameworks like Playwright.

• Deep knowledge of Machine Learning algorithms (Regression, Neural Networks, Deep Learning).

• Experience with self-hosted models, LoRA adapters, and fine-tuning.

• Exposure to Cloud infrastructure (AWS/Azure) and deployment tools like Jenkins.

Outstanding Compensation

• Competitive salary
• Bi-annual bonus
• 401(k) plan with match
• Equity in company
• Flexible spending accounts (health, dependent care)
• Internet and home office reimbursement
• In-office catered breakfast and lunches

100% Full Health Benefits

• Medical, dental, and vision (optional plans for your family)
• Life & long-term disability insurance (optional)
• Mental health support and resources
• Wellness reimbursement (gym, health apps, etc.)
• Pet Insurance (optional)

Flexible time away

• Flexible PTO
• Sick time policy
• Observed holidays

Certain group health plans are required to disclose on a public website information regarding in-network provider rates and historical out-of-network allowed amounts and billed charges for covered items and services in two separate machine-readable files (MRFs). The MRFs for the Triple S Salud medical benefit plans are linked below as of July 1, 2022:

https://salud.grupotriples.com/en/transparency-in-coverage-machine-readable-files/

We Transform Work Lives

As an established global organization, BOLD helps people find jobs. Our story is one of growth, success, and professional fulfillment. We create digital products that have empowered millions of people in 180 countries to build stronger resumes, cover letters, and CVs. The result of our work helps people interview confidently, finding the right job in less time. Our employees are experts, learners, contributors, and creatives.

We Celebrate and Promote Diversity and Inclusion

We value our position as an Equal Opportunity Employer. We hire based on qualifications, merit, and our business needs. We don't discriminate regarding race, color, religion, gender, pregnancy, national origin or citizenship, ancestry, age, physical or mental disability, veteran status, sexual orientation, gender identity or expression, marital status, genetic information, or any other applicable characteristic protected by law.